Conference paper

 
Gajda, Z., Sekanina, L.: An Efficient Selection Strategy for Digital Circuit Evolution, In: Evolvable Systems: From Biology to Hardware, Berlin, DE, Springer, 2010, p. 13-24, ISBN 978-3-642-15322-8
Publication language:english
Original title:An Efficient Selection Strategy for Digital Circuit Evolution
Title (cs):Účinná selekční strategie pro evoluci číslicových obvodů
Pages:13-24
Proceedings:Evolvable Systems: From Biology to Hardware
Conference:The 9th International Conference on Evolvable Systems: From Biology to Hardware
Series:LNCS 6274
Place:Berlin, DE
Year:2010
ISBN:978-3-642-15322-8
Publisher:Springer Verlag
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Keywords
digital circuit, cartesian genetic programming, circuit design, evolutionary computation, selection operator
Annotation
In this paper, we propose a new modification of Cartesian Genetic Programming (CGP) that enables to optimize digital circuits more significantly than standard CGP. We argue that considering fully functional but not necessarily smallest-discovered individual as the parent for new population can decrease the number of harmful mutations and so improve the search space exploration. This phenomenon was confirmed on common benchmarks such as combinational multipliers and the LGSynth91 circuits.
BibTeX:
@INPROCEEDINGS{
   author = {Zbyšek Gajda and Lukáš Sekanina},
   title = {An Efficient Selection Strategy for Digital Circuit
	Evolution},
   pages = {13--24},
   booktitle = {Evolvable Systems: From Biology to Hardware},
   series = {LNCS 6274},
   year = {2010},
   location = {Berlin, DE},
   publisher = {Springer Verlag},
   ISBN = {978-3-642-15322-8},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=9299}
}